Published by Google Ads, 2025
In 2025 Google published three case studies featuring LGG Media as the named agency. All three tested Google AI Max for Search over 45-day windows and measured uplift using Google's pre-post methodology against a control period. Google authored and published these documents independently.
All three results were powered by offline conversion data synced back to Google rather than platform-native tracking. Platform-native tracking registers a form submission or a phone call. It cannot see what that lead became downstream.
LGG Media tracks what each form submission or call became: a signed booking, a collected payment, a qualified policy sale. The revenue value of that outcome is synced back to Google via API and tied to the specific keyword, query, and creative that produced it.
When Google AI Max trains on that offline signal, the algorithm optimizes toward users who produce paying customers rather than users who produce clicks. Over each 45-day window, budget moved toward the queries and audiences that generated actual revenue.
All three accounts ran Target ROAS bidding throughout. That held the profitability floor in place as volume grew, which is why revenue scaled without margin compression. How the attribution layer works →
LGG Media holds Hyros Certified Agency status. Offline conversion tracking, API sync, and CRM integration are deployed as part of the core account setup on every client account.
Results across health insurance, moving, and relocation. Each account ran Google AI Max for Search on offline conversion data from LGG's call tracking and Hyros attribution, with Target ROAS holding profitability in place.
Needed to grow long-distance move bookings without pulling in local move inquiries the business could not service. Passing signed booking values rather than form submissions, the algorithm learned which queries produced completed long-distance moves. 88% conversion uplift and 174% click uplift over 45 days.
Read Google's official case study (PDF) →Had reached the ceiling of phrase and exact match keywords in a restricted health insurance vertical. Using only the AI Max text customization feature, it tested AI Max on generic Search campaigns while holding its strict Target ROAS. Over 45 days, AI Max found new, valuable queries. 28% conversion uplift, 36% click uplift.
Read Google's official case study (PDF) →Operated exclusively in state-to-state moves and needed volume without local inquiries it could not fulfill. AI Max plus Target ROAS, trained on Hyros data for completed interstate moves, expanded coverage on relevant long-distance queries while holding the profitability floor. 72% click uplift and 27% conversion value uplift over 45 days.
Read Google's official case study (PDF) →“AI Max enabled us to scale while strictly focusing on long-distance moves. By consolidating strategy, we achieved a 104% uplift in conversion value. It didn't just drive volume. It delivered the high-quality traffic we needed to grow.”
Frank Law, President, Coastal Moving Services
The offline conversion tracking, API sync, and value-based bidding architecture in these case studies is the foundation LGG Media deploys on every client account managing $100K or more in monthly paid search spend.
Google AI Max trained on form submissions optimizes toward users who fill out forms, not users who become paying customers. Syncing offline revenue events changes what the algorithm learns to find.
The same approach recurs across LGG Media's client work, from the health insurance brokerage to the national moving broker. The verticals differ. The methodology does not.
All three results depended on a real value per conversion. The award breakdown shows how the 2026 Impact Award account sent call values to Smart Bidding, and the persistency page explains how LGG sets value per product line for insurance.
The award campaign, step by step → · Conversion value from persistency: how LGG sets it →
Next Step
Google AI Max trained on form submissions optimizes toward users who fill out forms, not paying customers. Syncing offline revenue events changes what the algorithm learns to find. Get in touch to discuss what closing that gap looks like for your accounts. Browse all LGG Media case studies.
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